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GTV-based prescription in SBRT for lung lesions using advanced dose calculation algorithms
BACKGROUND: The aim of current study was to investigate the way dose is prescribed to lung lesions during SBRT using advanced dose calculation algorithms that take into account electron transport (type B algorithms). As type A algorithms do not take into account secondary electron transport, they ov...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4205279/ https://www.ncbi.nlm.nih.gov/pubmed/25319444 http://dx.doi.org/10.1186/s13014-014-0223-5 |
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author | Lacornerie, Thomas Lisbona, Albert Mirabel, Xavier Lartigau, Eric Reynaert, Nick |
author_facet | Lacornerie, Thomas Lisbona, Albert Mirabel, Xavier Lartigau, Eric Reynaert, Nick |
author_sort | Lacornerie, Thomas |
collection | PubMed |
description | BACKGROUND: The aim of current study was to investigate the way dose is prescribed to lung lesions during SBRT using advanced dose calculation algorithms that take into account electron transport (type B algorithms). As type A algorithms do not take into account secondary electron transport, they overestimate the dose to lung lesions. Type B algorithms are more accurate but still no consensus is reached regarding dose prescription. The positive clinical results obtained using type A algorithms should be used as a starting point. METHODS: In current work a dose-calculation experiment is performed, presenting different prescription methods. Three cases with three different sizes of peripheral lung lesions were planned using three different treatment platforms. For each individual case 60 Gy to the PTV was prescribed using a type A algorithm and the dose distribution was recalculated using a type B algorithm in order to evaluate the impact of the secondary electron transport. Secondly, for each case a type B algorithm was used to prescribe 48 Gy to the PTV, and the resulting doses to the GTV were analyzed. Finally, prescriptions based on specific GTV dose volumes were evaluated. RESULTS: When using a type A algorithm to prescribe the same dose to the PTV, the differences regarding median GTV doses among platforms and cases were always less than 10% of the prescription dose. The prescription to the PTV based on type B algorithms, leads to a more important variability of the median GTV dose among cases and among platforms, (respectively 24%, and 28%). However, when 54 Gy was prescribed as median GTV dose, using a type B algorithm, the variability observed was minimal. CONCLUSION: Normalizing the prescription dose to the median GTV dose for lung lesions avoids variability among different cases and treatment platforms of SBRT when type B algorithms are used to calculate the dose. The combination of using a type A algorithm to optimize a homogeneous dose in the PTV and using a type B algorithm to prescribe the median GTV dose provides a very robust method for treating lung lesions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13014-014-0223-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4205279 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42052792014-10-23 GTV-based prescription in SBRT for lung lesions using advanced dose calculation algorithms Lacornerie, Thomas Lisbona, Albert Mirabel, Xavier Lartigau, Eric Reynaert, Nick Radiat Oncol Methodology BACKGROUND: The aim of current study was to investigate the way dose is prescribed to lung lesions during SBRT using advanced dose calculation algorithms that take into account electron transport (type B algorithms). As type A algorithms do not take into account secondary electron transport, they overestimate the dose to lung lesions. Type B algorithms are more accurate but still no consensus is reached regarding dose prescription. The positive clinical results obtained using type A algorithms should be used as a starting point. METHODS: In current work a dose-calculation experiment is performed, presenting different prescription methods. Three cases with three different sizes of peripheral lung lesions were planned using three different treatment platforms. For each individual case 60 Gy to the PTV was prescribed using a type A algorithm and the dose distribution was recalculated using a type B algorithm in order to evaluate the impact of the secondary electron transport. Secondly, for each case a type B algorithm was used to prescribe 48 Gy to the PTV, and the resulting doses to the GTV were analyzed. Finally, prescriptions based on specific GTV dose volumes were evaluated. RESULTS: When using a type A algorithm to prescribe the same dose to the PTV, the differences regarding median GTV doses among platforms and cases were always less than 10% of the prescription dose. The prescription to the PTV based on type B algorithms, leads to a more important variability of the median GTV dose among cases and among platforms, (respectively 24%, and 28%). However, when 54 Gy was prescribed as median GTV dose, using a type B algorithm, the variability observed was minimal. CONCLUSION: Normalizing the prescription dose to the median GTV dose for lung lesions avoids variability among different cases and treatment platforms of SBRT when type B algorithms are used to calculate the dose. The combination of using a type A algorithm to optimize a homogeneous dose in the PTV and using a type B algorithm to prescribe the median GTV dose provides a very robust method for treating lung lesions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13014-014-0223-5) contains supplementary material, which is available to authorized users. BioMed Central 2014-10-16 /pmc/articles/PMC4205279/ /pubmed/25319444 http://dx.doi.org/10.1186/s13014-014-0223-5 Text en © Lacornerie et al.; licensee BioMed Central Ltd. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology Lacornerie, Thomas Lisbona, Albert Mirabel, Xavier Lartigau, Eric Reynaert, Nick GTV-based prescription in SBRT for lung lesions using advanced dose calculation algorithms |
title | GTV-based prescription in SBRT for lung lesions using advanced dose calculation algorithms |
title_full | GTV-based prescription in SBRT for lung lesions using advanced dose calculation algorithms |
title_fullStr | GTV-based prescription in SBRT for lung lesions using advanced dose calculation algorithms |
title_full_unstemmed | GTV-based prescription in SBRT for lung lesions using advanced dose calculation algorithms |
title_short | GTV-based prescription in SBRT for lung lesions using advanced dose calculation algorithms |
title_sort | gtv-based prescription in sbrt for lung lesions using advanced dose calculation algorithms |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4205279/ https://www.ncbi.nlm.nih.gov/pubmed/25319444 http://dx.doi.org/10.1186/s13014-014-0223-5 |
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